Single-Cell RNA-Seq Analysis of Retinal Development Identifies NFI Factors as Regulating Mitotic Exit and Late-Born Cell Specification.

Animals Cell Proliferation / genetics Ependymoglial Cells / metabolism Gene Expression Regulation, Developmental / genetics Interneurons / metabolism Mice Mitosis / genetics NFI Transcription Factors / genetics Neural Stem Cells / metabolism Neurogenesis / genetics RNA-Seq Retina / embryology Retinal Neurons / metabolism Single-Cell Analysis
CoGAPS Müller glia cell fate development neural progenitor neurogenesis photoreceptor proliferation retina scRNA-seq single-cell RNA-sequencing

Journal

Neuron
ISSN: 1097-4199
Titre abrégé: Neuron
Pays: United States
ID NLM: 8809320

Informations de publication

Date de publication:
19 06 2019
Historique:
received: 22 08 2018
revised: 07 02 2019
accepted: 03 04 2019
pubmed: 28 5 2019
medline: 24 3 2020
entrez: 27 5 2019
Statut: ppublish

Résumé

Precise temporal control of gene expression in neuronal progenitors is necessary for correct regulation of neurogenesis and cell fate specification. However, the cellular heterogeneity of the developing CNS has posed a major obstacle to identifying the gene regulatory networks that control these processes. To address this, we used single-cell RNA sequencing to profile ten developmental stages encompassing the full course of retinal neurogenesis. This allowed us to comprehensively characterize changes in gene expression that occur during initiation of neurogenesis, changes in developmental competence, and specification and differentiation of each major retinal cell type. We identify the NFI transcription factors (Nfia, Nfib, and Nfix) as selectively expressed in late retinal progenitor cells and show that they control bipolar interneuron and Müller glia cell fate specification and promote proliferative quiescence.

Identifiants

DOI: 10.1016/j.neuron.2019.04.010 PMID: 31128945 PMC: PMC6768831
pubmed: 31128945
pii: S0896-6273(19)30345-9
doi: 10.1016/j.neuron.2019.04.010
pmc: PMC6768831
mid: NIHMS1529461
pii:
doi:

Substances chimiques

NFI Transcription Factors 0
Nfia protein, mouse 0
Nfib protein, mouse 0
Nfix protein, mouse 0

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't Video-Audio Media

Langues

eng

Sous-ensembles de citation

IM

Pagination

1111-1126.e5

Subventions

Organisme : NINDS NIH HHS
ID : P30 NS050274
Pays : United States
Organisme : NEI NIH HHS
ID : R01 EY020560
Pays : United States
Organisme : NIGMS NIH HHS
ID : T32 GM007814
Pays : United States
Organisme : NEI NIH HHS
ID : U01 EY027267
Pays : United States
Organisme : NEI NIH HHS
ID : K99 EY027844
Pays : United States
Organisme : NEI NIH HHS
ID : F32 EY024201
Pays : United States
Organisme : NEI NIH HHS
ID : K08 EY027093
Pays : United States
Organisme : NCI NIH HHS
ID : R01 CA177669
Pays : United States
Organisme : NEI NIH HHS
ID : R00 EY027844
Pays : United States
Organisme : NCI NIH HHS
ID : U01 CA212007
Pays : United States

Informations de copyright

Copyright © 2019 Elsevier Inc. All rights reserved.

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Auteurs

Brian S Clark (BS)

Solomon H. Snyder Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.

Genevieve L Stein-O'Brien (GL)

Solomon H. Snyder Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Department of Oncology, Division of Biostatistics and Bioinformatics, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; McKusick-Nathans Institute for Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Institute for Data Intensive Engineering and Science, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.

Fion Shiau (F)

Solomon H. Snyder Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.

Gabrielle H Cannon (GH)

Solomon H. Snyder Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; McKusick-Nathans Institute for Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.

Emily Davis-Marcisak (E)

Department of Oncology, Division of Biostatistics and Bioinformatics, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; McKusick-Nathans Institute for Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.

Thomas Sherman (T)

Department of Oncology, Division of Biostatistics and Bioinformatics, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.

Clayton P Santiago (CP)

Solomon H. Snyder Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.

Thanh V Hoang (TV)

Solomon H. Snyder Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.

Fatemeh Rajaii (F)

Department of Ophthalmology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.

Rebecca E James-Esposito (RE)

Solomon H. Snyder Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.

Richard M Gronostajski (RM)

Department of Biochemistry, Genetics, Genomics and Bioinformatics Graduate Program, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY 14203, USA.

Elana J Fertig (EJ)

Department of Oncology, Division of Biostatistics and Bioinformatics, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Institute for Data Intensive Engineering and Science, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Department of Ophthalmology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Institute for Computational Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Mathematical Institute for Data Science, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Department of Applied Mathematics and Statistics, Johns Hopkins University, Baltimore, MD 21205, USA; Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.

Loyal A Goff (LA)

Solomon H. Snyder Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; McKusick-Nathans Institute for Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Kavli Neuroscience Discovery Institute, Johns Hopkins University, Baltimore, MD 21205, USA.

Seth Blackshaw (S)

Solomon H. Snyder Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Department of Ophthalmology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Kavli Neuroscience Discovery Institute, Johns Hopkins University, Baltimore, MD 21205, USA; Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Center for Human Systems Biology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA. Electronic address: sblack@jhmi.edu.

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Classifications MeSH

questionsmedicales.fr › Eucaryotes › Animaux › Single-Cell RNA-Seq Analysis of Retinal...
questionsmedicales.fr › Phénomènes physiologiques › Croissance et développement › Croissance › Processus de croissance cellulaire › Prolifération cellulaire › Single-Cell RNA-Seq Analysis of Retinal...
questionsmedicales.fr › Cellules › Névroglie › Cellules épendymogliales › Single-Cell RNA-Seq Analysis of Retinal...
questionsmedicales.fr › Phénomènes génétiques › Régulation de l'expression des gènes › Régulation de l'expression des gènes au cours du développement › Single-Cell RNA-Seq Analysis of Retinal...
questionsmedicales.fr › Cellules › Neurones › Interneurones › Single-Cell RNA-Seq Analysis of Retinal...
questionsmedicales.fr › Eucaryotes › Animaux › Chordés › Vertébrés › Mammifères › Eutheria › Rodentia › Muridae › Murinae › Souris › Single-Cell RNA-Seq Analysis of Retinal...
questionsmedicales.fr › Phénomènes génétiques › Division du noyau cellulaire › Mitose › Single-Cell RNA-Seq Analysis of Retinal...
questionsmedicales.fr › Acides aminés, peptides et protéines › Protéines › Facteurs de transcription › Facteurs nucléaires-I › Single-Cell RNA-Seq Analysis of Retinal...
questionsmedicales.fr › Cellules › Cellules souches › Cellules souches neurales › Single-Cell RNA-Seq Analysis of Retinal...
questionsmedicales.fr › Phénomènes physiologiques de l'appareil locomoteur et du système nerveux › Phénomènes physiologiques du système nerveux › Neurogenèse › Single-Cell RNA-Seq Analysis of Retinal...
questionsmedicales.fr › Techniques d'investigation › Techniques génétiques › Analyse de séquence › Analyse de séquence d'ARN › RNA-Seq › Single-Cell RNA-Seq Analysis of Retinal...
questionsmedicales.fr › Organes des sens › Oeil › Rétine › Single-Cell RNA-Seq Analysis of Retinal...
questionsmedicales.fr › Cellules › Neurones › Neurones afférents › Neurones rétiniens › Single-Cell RNA-Seq Analysis of Retinal...
questionsmedicales.fr › Techniques d'investigation › Techniques cytologiques › Analyse sur cellule unique › Single-Cell RNA-Seq Analysis of Retinal...